Data Governance
Key steps in effective
Data Governance
for organisations

Data Governance is a crucial component of any organisation’s cybersecurity strategy. It involves establishing policies and procedures for managing data throughout its lifecycle, from creation to disposal. As data volumes continue to grow, it becomes increasingly important for businesses to maintain the accuracy, consistency, and security of their data. Nueva offers a range of data governance services, including policy and procedure development, data classification, data lineage tracking, and ongoing monitoring and maintenance. By working with Nueva, businesses can ensure the accuracy and consistency of their data, comply with regulatory requirements, and protect sensitive information from unauthorised access or disclosure. Contact Nueva today to learn more about how we can help with your data governance needs.

Mission

Our mission at Nueva Solutions is to create a safer digital environment by providing innovative and
customised cybersecurity solutions to our clients. We are committed to staying ahead of the
constantly evolving cybersecurity threats and challenges to ensure our clients; information and
assets are protected. With a strong focus on customer centricity, teamwork, and ethics, we strive to
build trust with our clients and establish long-lasting relationships. Our goal is to simplify cyber
security and deliver exceptional service and support to create a safer digital world for everyone.

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Frequently Asked Questions.

What is data governance, and why is it important for businesses?

Data governance refers to the overall management of the availability, usability, integrity, and security of the data used in an organisation. It is important for businesses to maintain the accuracy and consistency of their data, comply with regulatory requirements, and ensure the protection of sensitive information.

Some common data governance frameworks include COBIT, DAMA-DMBOK, and ISO 38500. These frameworks provide guidelines for the management of data governance processes, policies, and procedures.

Some common challenges include defining ownership and responsibility for data governance, ensuring data quality and accuracy, managing data access and security, and maintaining compliance with regulatory requirements.

A data governance policy is a document that outlines the standards and procedures for managing data within an organisation. It is important because it provides a framework for consistent data management practices, establishes accountability for data quality and accuracy, and helps ensure compliance with regulatory requirements.

Businesses can ensure compliance with data governance regulations by implementing effective policies and procedures for data management, conducting regular assessments and audits, providing employee training on data governance best practices, and monitoring and maintaining data quality and accuracy.

Data classification is the process of categorising data based on its level of sensitivity, importance, and criticality. It plays a key role in data governance by helping organisations prioritise their data management efforts, allocate resources effectively, and ensure the appropriate level of protection for sensitive information.

Data lineage refers to the process of tracking the movement of data throughout its lifecycle, from its origin to its final destination. It is important for data governance because it helps ensure data accuracy and quality, identify potential risks and issues, and maintain compliance with regulatory requirements.

Nueva offers a range of data governance services, including policy and procedure development, data classification, data lineage tracking, and ongoing monitoring and maintenance. By working with Nueva, businesses can ensure the accuracy and consistency of their data, comply with regulatory requirements, and protect sensitive information from unauthorised access or disclosure.

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